Publications

• Kuheli Biswas, N. Brenner and Hanna Salman and , “Single-cell Growth Rate Variability in Balanced Exponential Growth”, preprint (2024) .
• Kuheli Biswas and N. Brenner, “Universality of phenotypic distributions in bacteria”, Phys. Rev. Res. 6, L022043  (2024) .
• Ron Teichner, Aseel Shomar, O. Barak , N. Brenner, S. Marom , R. Meir and D. Eytan ,“Identifying Regulation with Adversarial Surrogates”. PNAS  (2023).
• Lukas Geyrhofer , Philip Ruelens, Andrew D. Farr, Diego Pesce , J. Arjan G.M. de
  Visser and N. Brenner,“Minimal Survivng Inoculum in Collective Antibiotic Resistance”.  mbio Vol. 14, No. 2 (2023).
• Kuheli Biswas and N. Brenner,“Cell-division time statistics from stochastic exponential threshold-crossing”. bioRxiv  (2022).
• Shomar, O. Barak and N. Brenner,“Cancer progression as a learning process”.  iScience 25, 103924 (2022).
• A. Stawsky, H. Vashistha, H. Salman and N. Brenner, “Multiple timescales in bacterial growth homeostasis”. iScience 25, 103678 (2022).
• Susman, F. Mastrogiuseppe, N. Brenner and O. Barak, “Quality of internal representation shapes learning performance in feedback neural networks”. Physical Review Research,3(1), 013176 (2021).
• L. Geyrhofer and N. Brenner, “Coexistence and cooperation in structured habitats.” BMC ecology 20, 1-15 (2020).
• Shomar, O. Barak, and N. Brenner. “Local and global features of genetic networks supporting a phenotypic switch.” Plos one 15.9 (2020): e0238433.
• A. Rivkind, H. Schreier, N. Brenner and O. Barak, “Scale free topology as an effective feedback system”. PLoS Comp. Biol. 16, e1007825 (2020).
• U. Gordon, S. Marom and N. Brenner, ”Visual detection of time-varying signals: opposing biases and their timescales”. PLoS One 14, 11 (2019).
• L. Susman, N. Brenner and O. Barak, “Stable memory with unstable synapses”. Nature Communications 10, 4441 (2019).
• E. Braun and N. Brenner, “Can specific tuning of single-gene expression be deduced from a local measurement of that gene alone?”, Academia (2018).
• L. Susman, M. Korham, H.Vashistha, J. T. Nechleba, H. Salman and N. Brenner , “Individuality and slow dynamics in bacterial growth homeostasis” (PNAS, accepted 2018).
• N. Ziv and N. Brenner, “Synaptic tenacity or lack thereof”, Trends in Neurosci. (2018).
• A. Shomar, L. Geyrhofer, N. Ziv and N. Brenner, PLoS Comp. Biol (2017).
• H. Schreier, Y.Soen and N. Brenner, “Exploratory adaptation in Large Random Networks”. Nature Comm. 8,14826 (2017).
• H. Behar, N. Brenner, G. Ariel and Y. Louzoun, “Fluctuations induced coexistence in public goods dynamics”, Phys. Biol. 13, 056006 (2016).
• N. Brenner, E. Braun, A. Yoney, L. Susman, J. Rotella and H. Salman, Single-cell protein dynamics reproduce universal fluctuations in cell populations,Eur. Phys. J. E 38, 102 (2015).
• N. Brenner, C.M. Newman, D. Osmanovic, Y. Rabin, H. Salman and D.L Stein, Universal protein distributions in a model of cell growth and division. Phys. Rev. E (2015).
• H. Behar, N. Brenner and Y. Louzoun,“Coexistence by Spatiotemporal patterns in a cooperation problem”.Theoret. Pop. Biol. 96, 20-29 (2014).
• A. Statman, M. Kaufman, A. Minerbi, N. Ziv and N. Brenner, “Synaptic size dyanmics as an effective stochastic process”, PLoS Comp. Biol. 10, e1003846 (2014).
• Y. Elhanati and N. Brenner, “Metabolic variability in micro-populations”. PLoS ONE 7, e52105 (2012).
• H. Salman, N. Brenner, Ch-K. Tung, N. Elyahu, E. Stolovicki, L. Moore, A. Libchaber and E. Braun, “Universal protein fluctuations in microorganism populations. Phys. Rev. Lett. 108, 238105 (2012).
• E. Filiba, D. Lewin and N. Brenner. “Transients and tradeoffs: phenotypic switching in a fluctuating limiting environment”. In press, Theor. Pop. Biol (2012).
• Y. Elhanati, S. Schuster and N. Brenner, “Dynamic modeling of cooperative protein secretion in microorganism populations”. Theor. Pop. Biol. 80, 49-63 (2011).
• T. Friedlander and N. Brenner, “Adaptive response and enlargement of dynamic range”. Mathematical Biosciences and Engineering 8, 515 – 528 (2011).
• S. Schuster, A. Schroeter, N. Brenner, F. Wessely, G. Theissen, E. Ruppin and J.U. Kreft. “Cooperation and cheating in exoenzyme production by microorganisms – theoretical analysis in view of biotechnological applications”. Biotech. J. 5, 751-758 (2010).
• T. Friedlander and N. Brenner, “Adaptive response by state-dependent inactivation”. PNAS 106, 22558-22563 (2009).
• T. Friedlander and N. Brenner, “Cellular properties and asymptotics in the population balance equation”, Phys. Rev. Lett.101, 018104 (2008).
• N. Brenner and Y. Shokef, “Non-equilibrium statistical mechanics of dividing cell populations”, Phys. Rev. Lett. 99, 138102-1 –  138102-4 (2007).
• S. Stern, T. Dror, E. Stolovicki,  N. Brenner and E. Braun, “Genome-wide transcriptional plasticity underlies cellular adaptation to novel challenge”, Mol. Sys. Biol. 3, article #106 (2007) .See also News and Views by E.V. Koonin, Mol. Sys. Biol.3, article # 107 (2007).
• N. Brenner, K. Farkash and E. Braun, “Dynamics of protein distributions in cell populations”, Phys. Biol. 3, 172-182 (2006).
• E. Stolovicki, T. Dror, N. Brenner and E. Braun, “Synthetic gene-recruitment reveals adaptive reprogramming of gene regulation in yeast”, Genetics 173, 75-85 (2006).
• G. Gilboa, R. Chen and N. Brenner, “History dependent multiple time scale dynamics in a single neuron model”, J. Neurosci. 25, 6479-6489 (2005).
• E. Braun and N. Brenner, “Transient responses and adaptation to steady state in a eukaryotic gene regulation system”, Phys. Biol.1, 67-76 (2004).
• D. Eytan, N. Brenner, S. Marom, “Selective adaptation in networks of cortical neurons”, J. Neurosci. 23, 9349-9356 (2003).
• N. Brenner, O. Agam, W. Bialek, R. de Ruyter van Steveninck, “Statistical properties of spike trains: universal and stimulus-dependent aspects”, Phys. Rev. E66, 031907-1 – 031907-14 (2002).
• E. Schneidman, N. Brenner, N. Tishby, R. de Ruyter van Steveninck, W. Bialek, “Universality and individuality in a neural code”, NIPS 2001.
• N. Brenner, S.P. Strong, R. Koberle, W. Bialek, R. de Ruyter van Steveninck, “Synergy in a neural code”, Neur. Comp.12, 1531-1552 (2000).
• N. Brenner, W. Bialek, R. de Ruyter van Steveninck, “Adaptive rescaling optimizes information transmission”, Neuron26, 695-701 (2000).
• N. Brenner, O. Agam, W. Bialek, R. de Ruyter van Steveninck, “Universal statistical properties of neural spike trains”, Phys. Rev. Lett.81, 4000-4003 (1998).